code: def test_scalar_input(self):
      input_a = Input(shape=(3,), batch_size=2, name="input_a")
      input_b = Input(shape=(), batch_size=2, name="input_b")
      outputs = input_a + input_b[:, None]
      model = Functional([input_a, input_b], outputs)
      model.summary()
  
      in_val = [np.zeros((2, 3)), np.ones((2,))]
      out_val = model(in_val)
      self.assertAllClose(out_val, np.ones((2, 3)))
  
imports: import warnings
  import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import testing
  from keras.layers.core.input_layer import Input
  from keras.layers.input_spec import InputSpec
  from keras.models import Functional
  from keras.models import Model
label_desc: Use image node_id 2 for calling the FunctionalTest obj's underlying member method code with example usage: obj.test_scalar_input() without return types